↓ Skip to main content

Effects of resveratrol on glucose control and insulin sensitivity in subjects with type 2 diabetes: systematic review and meta-analysis

Overview of attention for article published in Nutrition & Metabolism, September 2017
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
4 news outlets
twitter
8 tweeters
facebook
3 Facebook pages
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
118 Dimensions

Readers on

mendeley
177 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Effects of resveratrol on glucose control and insulin sensitivity in subjects with type 2 diabetes: systematic review and meta-analysis
Published in
Nutrition & Metabolism, September 2017
DOI 10.1186/s12986-017-0217-z
Pubmed ID
Authors

Xiangyun Zhu, Chunhua Wu, Shanhu Qiu, Xuelu Yuan, Ling Li

Abstract

Although the regular consumption of resveratrol has been known to improve glucose homeostasis and reverse insulin resistance in type 2 diabetes mellitus (T2DM), the reported results are inconsistent. Thus, we aimed to assess the effects of resveratrol on glycemic control and insulin sensitivity among patients with T2DM. We searched for relevant articles published until June 2017 on PubMed-Medline, Embase, Cochrane Library, and Web of Science. Randomized controlled trials in T2DM patients administered with resveratrol as intervention were included. After study selection, quality assessment and data extraction were performed independently by two authors, and STATA and RevMan software were used for statistical analysis. Nine randomized controlled trials involving 283 participants were included. Meta-analysis showed that resveratrol significantly improved the fasting plasma glucose ( -0.29 mmol/l, 95% CI: -0.51, -0.06, p < 0.01) and insulin levels (-0.64 U/mL, 95% CI: -0.95, -0.32, p < 0.0001). The drug also reduced homeostasis model assessment of insulin resistance (HOMA-IR) index, systolic blood pressure, and diastolic blood pressure among participants with T2DM. The changes in hemoglobin A1c (HbA1c), low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol were negligible. Subgroup analysis comparing the resveratrol supplementation doses of < 100 mg/d versus ≥ 100 mg/d revealed a significant difference in fasting plasma glucose. In particular, the latter dose presented more favorable results. This meta-analysis provides evidence that supplementation of resveratrol may benefit management of T2DM.

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 177 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 177 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 16%
Student > Bachelor 21 12%
Researcher 15 8%
Other 12 7%
Unspecified 12 7%
Other 31 18%
Unknown 58 33%
Readers by discipline Count As %
Medicine and Dentistry 23 13%
Nursing and Health Professions 17 10%
Biochemistry, Genetics and Molecular Biology 16 9%
Agricultural and Biological Sciences 15 8%
Pharmacology, Toxicology and Pharmaceutical Science 13 7%
Other 27 15%
Unknown 66 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 40. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 August 2022.
All research outputs
#976,961
of 24,490,209 outputs
Outputs from Nutrition & Metabolism
#151
of 988 outputs
Outputs of similar age
#20,467
of 323,001 outputs
Outputs of similar age from Nutrition & Metabolism
#1
of 12 outputs
Altmetric has tracked 24,490,209 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 988 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.1. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 323,001 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.